Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII

Häftad, Engelska, 2020

Av Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz

1 369 kr

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The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020.

Produktinformation

Utgivningsdatum2020-10-03
Mått155 x 235 x 46 mm
Vikt1 270 g
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor817
FörlagSpringer Nature Switzerland AG
EAN9783030597276

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Brain Development and Atlases.- A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease.- A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy.- Domain-invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.- Parkinson's Disease Detection from fMRI-derived Brainstem Regional Functional Connectivity Networks.- Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification.- Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN based Generative Adversarial Network.- From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional Connectivity.- Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome 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DualBranch Network for Whole Brain Segmentation.- Brain Age Estimation From MRI Using a Two-Stage Cascade Network with a Ranking Loss.- Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation.- Optimizing Visual Cortex Parameterization with Error-Tolerant Teichmüller Map in Retinotopic Mapping.- Multi-Scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection.- Construction of Spatiotemporal Infant Cortical Surface Functional Templates.- DWI and Tractography.- Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles.- Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity.- White Matter Tract Segmentation with Self-supervised Learning.- Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.- Tractogram filtering of anatomically non-plausible fibers with geometric deep learning.- Unsupervised Deep Learning for 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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII

Produktinformation

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